ArticleNeurosurgery2023
A Sensorised Surgical Glove to Analyze Forces During Neurosurgery.
Article in Neurosurgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Characterising Forces Applied During the Simulated Management of Impacted Fetal Head: Pre-Clinical Methods Study.BJOG : an international journal of obstetrics and gynaecology · 2026Article
- Surgeons' Perceptions on the Utility of a Conceptual Novel Force Sensor at the Surgeon-Tool Interface: Formative Interview Study.JMIR formative research · 2026Article
- Smartwatch-based wrist tremor assessment in neurosurgical simulator training.Scientific reports · 2025Article
- Design and Performance of a Neurosurgery Assisting Device.Biomimetics (Basel, Switzerland) · 2025Article
- Medical student perception of force application: An accuracy assessment and pilot training program.Journal of education and health promotion · 2024Article
- Computational Modeling, Augmented Reality, and Artificial Intelligence in Spine Surgery.Advances in experimental medicine and biology · 2024Review
- A Deep Learning Approach to Classify Surgical Skill in Microsurgery Using Force Data from a Novel Sensorised Surgical Glove.Sensors (Basel, Switzerland) · 2023Article
- A synthetic model simulator for intracranial aneurysm clipping: validation of the UpSurgeOn AneurysmBox.Frontiers in surgery · 2023Article
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMeasuring intraoperative forces in real time can provide feedback mechanisms to improve patient safety and surgical training. Previous force monitoring has been achieved through the development of specialized and adapted instruments or use designs that are incompatible with neurosurgical workflow.
objectiveTo design a universal sensorised surgical glove to detect intraoperative forces, applicable to any surgical procedure, and any surgical instrument in either hand.
methodsWe created a sensorised surgical glove that was calibrated across 0 to 10 N. A laboratory experiment demonstrated that the sensorised glove was able to determine instrument-tissue forces. Six expert and 6 novice neurosurgeons completed a validated grape dissection task 20 times consecutively wearing the sensorised glove. The primary outcome was median and maximum force (N).
resultsThe sensorised glove was able to determine instrument-tissue forces reliably. The average force applied by experts (2.14 N) was significantly lower than the average force exerted by novices (7.15 N) ( P = .002). The maximum force applied by experts (6.32 N) was also significantly lower than the maximum force exerted by novices (9.80 N) ( P = .004). The sensorised surgical glove's introduction to operative workflow was feasible and did not impede on task performance.
conclusionWe demonstrate a novel and scalable technique to detect forces during neurosurgery. Force analysis can provide real-time data to optimize intraoperative tissue forces, reduce the risk of tissue injury, and provide objective metrics for training and assessment.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.